Sustainable Industrial Development Research Articles

Temporal-spatial evolution analysis of carbon emission efficiency in the logistics industry of coastal provinces in China based on the super-efficiency SBM model.

The logistics industry is a pillar industry of China's national economic development, and coastal provinces, as the core of China's economic development, have highly developed logistics industry. However, the rapid development of the logistics industry in China's coastal provinces is usually accompanied by high carbon emissions. Therefore, improving the carbon emission efficiency of the logistics industry (LCEE) in China's coastal provinces is one of the main contents to achieve "China's dual carbon goals". Existing research indicates that LCEE is closely related to the efficiency levels of neighboring regions, and its temporal and spatial evolution characteristics are also influenced by the change of neighborhood efficiency. However, less attention has been given to the role of geographic proximity in analyzing the temporal and spatial evolution characteristics. Thus, this paper introduces the spatial lag factor into the Markov chain (MC) to obtain the spatial Markov chain (SMC), examining the influence of neighboring provinces' LCEE on the spatial evolution of the local LCEE in China's coastal provinces. The results show that: For most years between 2007 and 2022, in China's eleven coastal provinces, the LCEE values were less than one. These low LCEE values indicated that the potential for emission reduction had not been fully tapped, and low-carbon development faced significant challenges. The primary obstacle to improving LCEE during the study period was low technical efficiency, and the development of the technology level was crucial for enhancing LCEE. In 2007-2011 and 2015, the spatial distribution of LCEE exhibited significant spatial clustering features. The primary type of spatial clustering was high-high clustering, which indicated there was an obvious trend of regional coordinated development. The LCEE of neighboring provinces influenced the state transition probabilities of their own states, and spatial spillover effects in these provinces were very evident. This study conducted an in-depth analysis of the temporal-spatial evolution characteristics of LCEE in China's coastal provinces. There are significant differences in LCEE among these provinces. Each province needs to reduce the carbon dioxide emissions of the logistics industry and improve the LCEE through regional cooperation, technological investment, and targeted policies, so as to promote the sustainable development of the logistics industry in China's coastal provinces.

Establishment and Characteristics of the Spermatogonial Stem Cell Line from the Yellow River Carp (Cyprinus carpio haematopterus)

To address the growing consumer demands for improved fish meat quality, desirable morphological traits, and sustainable production practices, researchers have intensified efforts in the selective breeding and genetic improvement of carp (Cyprinus carpio) varieties. However, traditional breeding methods are often time-consuming and inefficient, which poses challenges to the sustainable development of the carp aquaculture industry. The establishment of germ stem cell lines offers a crucial tool for the study of germ cells, genetic improvement, and species conservation. In this study, we successfully established a spermatogonial stem cell line (YRSSCs) from Yellow River carp (Cyprinus carpio haematopterus) that can be cultured in vitro for the long term. We optimized the culture conditions to maintain their self-renewal and differentiation capabilities. The results demonstrated that YRSSCs have a diploid karyotype and can stably proliferate for over a year in L-15 medium supplemented with 5 mmol/L HEPES, 50 μmol/L β-mercaptoethanol, 15% FBS, 2 ng/mL bFGF, 2 ng/mL LIF, 1% carp serum, 800 IU/mL penicillin, 0.8 mg/mL streptomycin, 2 μg/mL amphotericin B, 1% zebrafish embryo extract, and 1% glutamine at 30 °C in the absence of CO2. The cells exhibited a typical germ stem cell gene expression profile, with strong expression of the vasa, plzf-a, and Oct4-a genes. Additionally, this study found that YRSSCs possess the ability to differentiate in vitro and functionally colonize in vivo within recipient bodies. This research explored the establishment of YRSSCs and their differentiation potential both in vitro and in vivo, providing a novel strategy for the genetic improvement of aquaculture fish species through germ stem cell-based gene editing and transplantation technologies.

Simulation and Optimization of Double-Season Rice Yield in Jiangxi Province Based on High-Accuracy Surface Modeling–Agricultural Production Systems sIMulator Model

The accurate estimation of double-season rice yield is critical for ensuring national food security. To address the limitations of traditional crop models in spatial resolution and accuracy, this study innovatively developed the HASM-APSIM coupled model by integrating High-Accuracy Surface Modeling (HASM) with the Agricultural Production Systems sIMulator (APSIM) to simulate the historical yield of double-season rice in Jiangxi Province from 2000 to 2018. The methodological advancements included the following: the localized parameter optimization of APSIM using the Nelder–Mead simplex algorithm and NSGA-II multi-objective genetic algorithm to adapt to regional rice varieties, enhancing model robustness; coarse-resolution yield simulations (10 km grids) driven by meteorological, soil, and management data; and high-resolution refinement (1 km grids) via HASM, which fused APSIM outputs with station-observed yields as optimization constraints, resolving the trade-off between accuracy and spatial granularity. The results showed that the following: (1) Compared to the APSIM model, the HASM-APSIM model demonstrated higher accuracy and reliability in simulating historical yields of double-season rice. For early rice, the R-value increased by 14.67% (0.75→0.86), RMSE decreased by 34.02% (838.50→553.21 kg/hm2), MAE decreased by 31.43% (670.92→460.03 kg/hm2), and MAPE dropped from 11.03% to 7.65%. For late rice, the R-value improved by 27.42% (0.62→0.79), RMSE decreased by 36.75% (959.0→606.58 kg/hm2), MAE reduced by 26.37% (718.05→528.72 kg/hm2), and MAPE declined from 11.05% to 8.08%. (2) Significant spatiotemporal variations in double-season rice yields were observed in Jiangxi Province. Temporally, the simulated yields of early and late rice aligned with statistical yields in terms of numerical distribution and interannual trends, but simulated yields exhibited greater fluctuations. Spatially, high-yield zones for early rice were concentrated in the eastern and central regions, while late rice high-yield areas were predominantly distributed around Poyang Lake. The 1 km resolution outputs enabled the precise identification of yield heterogeneity, supporting targeted agricultural interventions. (3) The growth rate of double-season rice yield is slowing down. To safeguard food security, the study area needs to boost the development of high-yield and high-quality crop varieties and adopt region-specific strategies. The model proposed in this study offers a novel approach for simulating crop yield at the regional scale. The findings provide a scientific basis for agricultural production planning and decision-making in Jiangxi Province and help promote the sustainable development of the double-season rice industry.

A Study on the Price Spatial Differentiation and Influencing Factors of Rural Homestay in Suzhou Based on the Hedonic Price Model

Using ArcGIS software to conduct spatial autocorrelation analysis, it was found that the price distribution of rural homestays in Suzhou is not random but shows apparent spatial clustering. Among the 81 rural homestays were 9 high-high clusters, 25 low-low clusters, 1 high-low outlier, and 5 low-high outliers. The hedonic price model is an economic model that breaks down goods or services into multiple attributes to estimate their prices. Based on this model, this paper further investigates the differentiated impacts and interactions between internal accommodation characteristics and external environmental attributes in the pricing mechanism of rural homestays in Suzhou. The results show that (1) the high-priced rural homestays in Suzhou are concentrated in the lake island resort with good natural environment and perfect infrastructure; (2) the location, facility quality, and network score of rural homestays have a positive impact on housing prices; (3) the parking lot of rural homestays hurts housing prices; (4) the quality of rural residential buildings and facilities has the most significant positive impact on housing prices. By comparing the hedonic price model of rural homestay and the heterogeneous preferences of consumers, this study provides rural homestay operators with effective room pricing strategies and marketing implications, provides policymakers with reference factors to promote the development of rural homestay industry, and has specific guiding significance for the sustainable development of the homestay industry.

Strategies for Organizing Recreational Tourism Routes to Create Attractiveness for Tourist Attractions in Mi Le City

Background and Aim: During the '14th Five-Year Plan' period, China's tourism industry entered a new stage of development, and the industry is facing the latest requirements of high-quality development. To adapt to the development of the industry, the Culture and Tourism Bureau of Mi Le City has also put forward a series of policies and measures for the development of the local tourism industry, but it has not yet achieved any obvious development results. The research aims of this paper are (1) to study the current situation of the recreational tourist attractions in Mi Le City; (2) to develop the strategies for organizing recreational tourism routes to create attractiveness for tourist attractions in Mi Le City; (3) to validate the feasibility of the strategies for organizing recreational tourism routes to create attractiveness for tourist attractions in Mi Le City. Materials and Methods: This study adopts the R&D research method, which collects data through the documentary analysis method, inquiry method, and interview method. The main research tools applied to this study are a questionnaire and an interview form. The author first conducted a questionnaire survey on 400 tourists traveling to Mi Le City to collect relevant quantitative data, and then conducted interviews with the managers and relevant staff of the ten major tourist attractions in Mi Le City, residents around the attractions, relevant staff of the Mi Le City Tourism Bureau, the managers of the Mi Le City Tourism Company, and the local tour guides to collect relevant qualitative data. The author then carried out a descriptive statistical analysis on the quantitative data, a content analysis on the qualitative data, a SWOT analysis to integrate the quantitative and qualitative data, a TOWS matrix to suggest pertinent strategies, and a Connoisseurship session with nine experts to evaluate the strategies. Results: The results of the study found that: (1) the situation of recreational tourism in Mi Le City has 10 strengths, 9 weaknesses, 6 opportunities and 8 threats, which are mainly manifested in the fact that Mi Le City has rich natural landscapes and complete infrastructures, but there is still room for improvement in terms of ticket prices, souvenirs, service quality and transport; (2) In response to the analysis of the current situation of recreational tourism in Mi Le City, this study proposes 6 SO strategies, 7 ST strategies, 6 WO strategies, and 7 WT strategies, which cover such aspects as digging out tourism resources, promoting the construction of a smart city, strengthening the linkage of attractions, regulating ticket prices, exploring local culture and improving infrastructures;(3) The experts involved in the connoisseurship agreed that these strategies have high feasibility and are in line with the current development needs of recreational tourism in Mi Le City, and except for a few strategies that need to be merged, the final result is 4 SO Strategies, 3 ST Strategies, 3 WO Strategies and 5 WT Strategies, which are recommended to be implemented on a priority basis, including upgrading the quality of publicity and services, developing new tourism routes, optimising traffic management, promoting large-scale events, developing high-quality souvenirs and solving the problem of parking during peak periods. Conclusion: In general, Mi Le City possesses abundant tourism resources and holds significant potential for the development of recreational tourism. However, these resources have not yet been fully developed and effectively utilized. If the relevant development strategies proposed in this study can be implemented, it is expected to further enhance the attractiveness of the tourist attractions in Mi Le City and promote the sustainable development of the regional tourism industry.

Characterization and Suitability for Ceramics Production of Clays from Bustos, Portugal

Clays are fundamental raw materials in the ceramics industry due to their plasticity, mineralogical composition, and thermal behavior. This study characterizes four clay samples from Bustos (Portugal), aiming to assess their suitability for ceramic applications through granulometric, geochemical, mineralogical, and technological assays, looking at aspects such as their plasticity and sintering behavior. A textural analysis of the samples revealed distinct granulometric profiles, being dominated by silty–clayey fractions and low amounts of coarse particles, indicating high plasticity potential. Three samples showed an alkaline pH (8.17–8.63), and one an acidic pH (5.11), which can significantly influence the rheology and firing behavior of the ceramic body. Samples had a predominance of phyllosilicate minerals, followed by quartz and magnetite–maghemite, and trace amounts of feldspars, anatase, bassanite, and siderite. In the clay fraction, smectite, illite, and kaolinite were identified. By combining classical analysis techniques with ceramic technology principles, this study contributes to the sustainable development of local ceramic industries, emphasizing the importance of characterizing natural raw materials for industrial applications. The plasticity tests showed strong workability in two samples, which exhibited high values of plasticity and moldability, making them suitable for shaping processes in ceramic production. Also, sintering behavior tests revealed that the same clays exhibited good densification during firing, with relatively low shrinkage.

Modelling and evaluating wood supply chain resilience factors based on system dynamics

With global ecological problems and uncertainties in the international economy, the resilience of the wood supply chain is becoming important for the sustainable development of the wood industry. Heilongjiang Province is a key region for wood production and consumption in China. However, it faces many internal and external challenges in its wood supply chain. This paper uses a system dynamics method to build a wood supply chain model for Heilongjiang Province with Anylogic. It includes resilience factors from infrastructure, economic, and ecological perspectives. The goal is to find the system’s dynamics and how different factors influence and interact with each other. The results show that relying on overseas raw materials makes supply chain management more difficult. Logistics information platforms are essential for better coordination. The manufacturing sector does not respond well, so improving manufacturing efficiency is necessary to increase the system’s efficiency. The sales sector is affected by changes in market demand. Balancing the consumption of domestic and international customer groups can help stabilize production and sales. This study explains the current situation of the wood supply chain in Heilongjiang Province. It provides a theoretical basis for regional wood supply chain management and offers useful insights for improving supply chain resilience in other similar regions.

Information Disclosure in the Context of Combating Climate Change: Evidence from the Chinese Natural Gas Industry

Natural gas (NG) is a key transitional energy source for clean energy transition. Against the backdrop of a grim climate change situation, the sustainable development of the Chinese NG industry is emphasized. Climate change disclosure (CCD) has become an important way for corporations to fulfill their social responsibility and demonstrate their capacity for sustainable development. In order to understand the current status of CCD in the Chinese NG industry and to improve the deficiencies, this paper assesses the quality of CCD in the Chinese NG industry. Climate change information is not fully covered by the existing quality evaluation systems. This study establishes a highly applicable system for evaluating the quality of CCD based on the theory pillar perspective. It includes the following five dimensions: completeness, balance, reliability, comparability, and understandability. This study evaluates the quality of CCD of 58 NG corporations using content analysis and quality evaluation index methods, incorporating Skip-Gram and CRITIC models. The evaluation results indicate that the quality of climate reports in the Chinese NG industry has shown general improvement over time; however, inconsistencies remain, making comparisons challenging. There are differences in the level of quality of CCD in the Chinese NG industry. Policy incentives with clear guidance and regional economic development conditions have a notable impact on the quality of CCD. For Chinese NG corporations themselves, disclosing climate change information related to risk management is the focus of narrowing the reporting gap. The CCD quality evaluation system constructed in this paper provides a theoretical reference for all industries to accurately promote disclosure quality. It also provides practical guidelines for corporations to identify weak links in CCD.

Molecular regulation of whole genome DNA methylation in heat stress response of dairy cows

BackgroundHeat stress seriously affects the production and health of dairy cows and is a key factor limiting the sustainable development of the dairy industry. DNA methylation serves as an important epigenetic regulatory mechanism closely associated with an animal's response to heat stress. However, the specific molecular mechanism of DNA methylation in cows' heat stress response is not fully understood.ResultsIn this study, whole genome bisulfite sequencing analysis of blood identified 49861 specific differentially methylated regions corresponding to 7613 differentially methylated genes between spring and summer dairy cows. Among them, 4069 the promoter region of differentially methylated genes were significantly enriched in key biological pathways such as substance transport, reactive oxygen species metabolism, signal transduction, and energy metabolism. By integrating the expression data of 4069 promoter differentially methylated genes, 157 genes were further screened, and their DNA methylation levels were negatively correlated with gene expression. The changes in DNLZ, GNAS, and SMAD5 genes were most significant, and network analysis showed that DNLZ gene has high connectivity in the protein–protein interaction network, indicating its potential key function in heat stress response. Experimental verification shows that under heat stress conditions, the methylation level of CpG islands in the promoter region of DNLZ gene significantly increases, and its methylation level is significantly negatively correlated with gene expression level. The Dual-luciferase reporter assays using constructs containing the DNLZ promoter reporter gene experiment further confirms that promoter methylation significantly inhibits DNLZ transcriptional activity, and the higher the degree of methylation, the stronger the inhibitory effect.ConclusionsThe research results provide new insights into the mechanism of heat stress-related DNA methylation in dairy cows, clarify the key roles of genes such as DNLZ, and provide potential target genes and epigenetic markers for the cultivation of heat-resistant dairy cows.

Influence of Investment in Fourth Industrial Revolution (4IR) Technologies on Employment in Tanzania Manufacturing Sector

The study assessed the influence of investment in 4IR technologies on employment in the manufacturing sector in Tanzania. Specifically, the study set out to establish the relationship and causality of investment in 4IR technologies on employment in the manufacturing sector. To achieve the research objectives, the study used a quantitative descriptive design to generate the required data. Moreover, the study used structured questionnaires for the cross-sectional survey, administered with 225 production managers of manufacturing industries in Tanzania. It used probability sampling in the form of cluster sampling. Additionally, the study used Pearson correlation and Ordinary Least Square methods to analyse the objectives of the study. This study has also revealed a strong positive correlation between investment in 4IR technologies and employment in the manufacturing sector. Further findings revealed a statistically significant causal effect between investment in 4IR technologies and manufacturing firms’ employment, whereby, when manufacturing firms increase investment in 4IR technologies by 1 unit, the employment level increases by 3.13 units. These findings are supported by the two-way graph, which portrays growth in employment level in the Tanzanian manufacturing sector as investment in industry 4.0 technologies increases. This study recommends that the government of Tanzania prioritise and invest further in technologically supportive infrastructure and enhance technical education for skills matching to fully embrace and harness the benefits of the Fourth Industrial Revolution. It further recommends that the Tanzanian Government review and improve its Sustainable Industrial Development Policy of 2020 and the Integrated Industrial Development Strategy of 2025 to promote and support not only resource-based industries, but also technology-based industries, to speed up industrialisation and employment within the country. The government should also improve its investment policies by aligning them with technological changes brought by 4IR, to attract more foreign direct investments (FDIs) that accelerate importation, adoption and imitation of 4IR technologies from developed countries for furtherance of industrialisation within the country

Physiological and Metabolic Responses of Mongolian Horses to a 20 km Endurance Exercise and Screening for New Oxidative-Imbalance Biomarkers.

The traditional horse industry has undergone a remarkable evolution, with horse racing emerging as a prominent and pivotal economic driver within the sector. Among the various breeds, Mongolian horses, renowned for their exceptional endurance and speed, occupy a significant position in the horse industry. To investigate their homeostasis mechanisms during and after a 20 km endurance exercise and identify novel oxidative-imbalance markers, we selected 12 two-year-old horses and collected blood samples at various time points before, during (at 5, 10, 15, and 20 km), and after the exercise (at 1, 2, 4, and 6 h post-exercise). These samples were analyzed for haematology, blood biochemistry, antioxidant enzyme activities, and liquid chromatography-mass spectrometry (LC-MS) metabolomics. Our results revealed significant changes in heart rate, speed, blood cells, and biochemical markers throughout the exercise. Antioxidant indicators decreased, while malondialdehyde increased, indicating oxidative imbalance post-exercise. Metabolomics analysis identified 122 differential metabolites, including uric acid and L-tyrosine, which were enriched in pathways related to energy metabolism. Uric acid and tyrosine correlated positively with serum creatine kinase, suggesting their potential as markers of oxidative-imbalance injury. These findings elucidate the mechanisms of endurance adaptability in Mongolian horses and provide a theoretical basis for mitigating oxidative imbalance, enhancing horse performance, and promoting the sustainable development of the equine industry.

Study on China’s Plastic Consumption Trend and Sustainable Development Countermeasures

The global plastic pollution control process has put forward higher requirements for waste plastic reduction and recycling. This study evaluated the plastic demands by 2030 and 2050 in China based on a combination of qualitative and quantitative methods, identified the four consumption terminals, and put forward countermeasures for the sustainable development of the plastics industry. The results show that based on the analysis of China’s low-carbon transition and global plastic pollution control policies, the reasonable demands for plastic will reach 118 and 110 million tons by 2030 and 2050, respectively. The packaging, construction and decoration, electronics and appliance, and automobile areas are the four major terminals of plastic consumption in China, accounting for more than 80% of the total plastic consumption. The enhanced implementation of the policy of banning and restricting plastic bags will lead to a significant drop in the consumption of disposable packaging plastics, while the low-carbon transformation of the whole society will promote the realization of low-energy consumption in the field of construction, the automobile industry toward lightweight materials, and electronics and appliance products toward high quality, thus further stimulating the related plastics demand. Finally, countermeasures for the sustainable development of plastic are proposed.

FLOCCULATION TREATMENT OF MINE WATER FROM FINE SUSPENDED SOLIDS

This paper presents the results of a study of the technology of flocculation treatment of mine water from fine suspended particles using the innovative “Sludge water treatment and sludge dewatering module» (LLC «STC Ecomash», Kharkiv, Ukraine). Mine water treatment is an important stage in ensuring the environmental safety of water resources and meets the requirements of modern environmental protection standards. Particular attention is paid to the role of the solid granular phase in the flocculation process, which not only increases the treatment efficiency but also reduces the consumption of flocculants. This, in turn, helps to reduce operating costs and improves the environmental safety of the process. Reducing the use of chemicals reduces the negative impact on the environment, reduces the risk of secondary water pollution and improves the environmental situation in the regions where the mines operate. It has been established that achieving the permissible level of suspended solids in mine water (up to 25 mg/l) is possible provided that the technological chain of devices is used in a continuous mode of operation, which ensures the stability and efficiency of the treatment process. Studies have shown that the addition of granular sludge with a hydraulic size of more than 40 microns significantly improves the aggregation of fine particles, contributing to the formation of heavy flocs that quickly settle in the settling tank. This significantly reduces cleaning time and increases process efficiency. Of particular importance is that the use of a solid granular phase in the flocculation process reduces the consumption of flocculants, which reduces operating costs and contributes to the environmental safety of the treatment process. Reducing the use of chemicals reduces the negative impact on the environment and reduces the risk of water pollution. The results of the study have great practical potential for implementation in real-world mine water treatment facilities, where they can provide not only effective mine water treatment, but also significantly increase economic efficiency by reducing the cost of chemicals. Given the need to ensure the sustainable development of the mining industry, the proposed results can be an important step towards the introduction of environmentally friendly and cost-effective technologies for mine water treatment. The development of such technologies will contribute to the improvement of water resources protection methods and ensure the long-term stability of natural ecosystems.

Economic-Environmental and Multi-Criteria Optimization for Predicting Alkaline Ratios in Waste Cement Concrete-Based Geopolymer Using Central Composite Design

India, as the world's second-largest cement producer, faces significant environmental challenges due to high carbon emissions from cement production. This study investigates the potential of using waste cement concrete (WCC) powder as a sustainable precursor in geopolymer concrete, aiming to advance sustainable development and effective waste management. Utilizing a central composite design (CCD) approach, the research optimizes molarity (M) and alkaline mix (AM) ratios to enhance the material's properties. Findings reveal that heat curing increases the 28-day compressive strength by 15–20% compared to room-temperature curing. Moreover, environmental impact assessments indicate a 15% reduction in Global Warming Potential (GWP) and a 12% reduction in Acidification Potential (AP), despite a 30% higher fossil fuel (FF) impact due to alkali use compared to traditional Portland cement mortar. Multi-response desirability analysis identifies the optimal molarity (10) and alkaline mix ratio (2.5) for achieving balanced performance across compressive strength, water absorption, shrinkage, tensile bond strength, and GWP. The confirmation experiments validate these predictive models, showing close alignment between predicted and observed values, ensuring the reliability and accuracy of the optimization approach. The study concludes that geopolymer mortars, particularly those cured at 60 °C with a 10 M NaOH solution and the optimal alkaline ratio, offer an environmentally friendly and mechanically superior alternative to conventional cement mortars. This approach supports sustainability by reducing environmental impact, promoting effective waste management, and contributing to sustainable development in the construction industry.

Применение самоорганизующихся систем управления для оптимизации процессов в сложных динамических системах при добыче полезных ископаемых

Digitalization and automation of mining processes is becoming a key factor in raising the efficiency and sustainability of the mining industry. This research focuses on analyzing the integration of digital technologies and distributed control systems for optimization of lithium mining in the Russian Federation. The objective of the work is to design a holistic architecture of a digital control system for lithium mining and concentration processes, and to evaluate its impact on the performance, safety and environmental sustainability. The research methodology includes analysis of Big Data collected from sensors and detectors, modeling of the production processes, as well as a technical and economic assessment of the efficiency of digital solutions. Data on the key performance indicators from Russian lithium deposits for 2020-2023 serve as the empirical basis. The results show that introduction of a digital control system can increase the yield of commercial lithium by 15-25%, while decreasing the mining and processing costs by up to 30% and the production time by 20%. At the same time, a 15-20% reduction in carbon footprint and a 40-50% increase in the safety level are achieved. The results obtained are of high theoretical and practical significance, offering prospects for scaling up digital solutions to other rare earth minerals and ensuring sustainable development of the Russian mining industry

Research on the Application of Blockchain Technology in Environmental Pollution Control of Chemical Enterprises

Addressing the challenges of environmental pollution control in chemical enterprises, this study provides a detailed analysis of the application of blockchain technology in this field based on the current status of blockchain technology and environmental pollution control practices in chemical enterprises. The analysis reveals that blockchain technology, with its decentralized, tamper-proof, and traceable characteristics, can effectively enhance the credibility of environmental monitoring data in chemical enterprises, enable precise tracking and responsibility identification of pollution sources, strengthen the supervision of environmental management funds, and promote effective compliance with environmental policies and regulations. Through this analysis, the article aims to provide new technical pathways and solutions for environmental pollution control in chemical enterprises, thereby supporting the green and sustainable development of the chemical industry.

Identification of core candidate genes responding to Verticillium wilt (Verticillium dahliae) in cotton via integrated methods.

Identification of core candidate genes responding to Verticillium wilt (Verticillium dahliae) in cotton via integrated methods.

Green intelligent building design based on integrated photovoltaic/thermal building

With the increasingly prominent contradiction between energy consumption and environmental governance, the integrated photovoltaic/thermal building system has broad development prospects in building energy conservation. However, the improper placement of photovoltaic solar thermal collectors results in the inability of solar energy systems to maximize energy conversion. In order to combine photoelectric photothermal technology with architectural design, realize the efficient conversion and utilization of solar energy, reduce the dependence on traditional energy sources, and reduce building energy consumption, research based on the comprehensive utilization technology of solar photovoltaic photothermal building, designed an integrated photovoltaic photothermal building system, and optimized the system for different light resources and environmental conditions of solar photovoltaic photothermal collectors. The system achieved zero energy operation when the total energy consumption in winter was 798.92kW·h. The cumulative power supply and heat generation of the integrated photovoltaic/thermal building system throughout the winter were 214.63kW·h and 79.68kW·h. This study uses solar photovoltaic solar thermal collectors to replace roof coverings or insulation layers, which declines the impact of solar energy on buildings, and avoids duplicate investment and cuts cost. This study can improve power generation efficiency, meet heating needs, enhance resource utilization efficiency, reduce environmental pollution, and promote the sustainable development of the construction industry

A tough and water-resistant cellulose-based barrier film and its multiple synergistic mechanisms for fruit preservation.

A tough and water-resistant cellulose-based barrier film and its multiple synergistic mechanisms for fruit preservation.

Non-coding RNA regulatory networks underlying intestinal degradation in Apostichopus japonicus under starvation stress: Insights from transcriptome analysis.

Non-coding RNA regulatory networks underlying intestinal degradation in Apostichopus japonicus under starvation stress: Insights from transcriptome analysis.